“Alright, so, with this customer, you want to lead with the value proposition,” I said to Ben, my replacement. The office felt warm, the sun streaming through the window. A gentle feeling settled over me as I watched Ben. "Make sure to highlight how the savings will work for their unique situation." I took a deep breath, demonstrating the tone I used when speaking with clients. I felt a sense of contentment as I went over each bullet point. I watched Ben's face, the gears working in his mind. I wanted to make sure he understood, so I repeated the lesson.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

This story is one of 1,000 stories generated for the emotion patient. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391